wine27: The (27-dimensional) Italian Wine data set
In MBCbook: Companion Package for the Book "Model-Based Clustering and Classification for Data Science" by Bouveyron et al. (2019, ISBN:9781108644181).
Description
Usage
Format
Details
Examples
Description
The (27-dimensional) Italian Wine data set is the result of a chemical analysis of 178 wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 27 constituents found in each of the three types of wines.
Usage
1
data("wine27")
Format
A data frame with 178 observations on the following 29 variables.
Alcohola numeric vector
Sugar.free_extracta numeric vector
Fixed_aciditya numeric vector
Tartaric_acida numeric vector
Malic_acida numeric vector
Uronic_acidsa numeric vector
pHa numeric vector
Asha numeric vector
Alcalinity_of_asha numeric vector
Potassiuma numeric vector
Calciuma numeric vector
Magnesiuma numeric vector
Phosphatea numeric vector
Chloridea numeric vector
Total_phenolsa numeric vector
Flavanoidsa numeric vector
Nonflavanoid_phenolsa numeric vector
Proanthocyaninsa numeric vector
Color_Intensitya numeric vector
Huea numeric vector
OD280.OD315_of_diluted_winesa numeric vector
OD280.OD315_of_flavanoidsa numeric vector
Glycerola numeric vector
X2.3.butanediola numeric vector
Total_nitrogena numeric vector
Prolinea numeric vector
Methanola numeric vector
Typea factor with levels Barbera, Barolo, Grignolino
Yeara numeric vector
Details
This data set is an expended version of the popular one from the UCI machine learning repository (http://archive.ics.uci.edu/ml/datasets/Wine).
Examples
1
Example output
Loading required package: mclust
Package 'mclust' version 5.4.7
Type 'citation("mclust")' for citing this R package in publications.
Loading required package: Rmixmod
Loading required package: Rcpp
Rmixmod v. 2.1.5 / URI: www.mixmod.org
Loading required package: MASS
Loading required package: mvtnorm
Attaching package: ‘mvtnorm’
The following object is masked from ‘package:mclust’:
dmvnorm
MBCbook documentation built on July 2, 2019, 9:08 a.m.
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Description Usage Format Details Examples
Description
The (27-dimensional) Italian Wine data set is the result of a chemical analysis of 178 wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 27 constituents found in each of the three types of wines.
Usage
1 | data("wine27")
|
Format
A data frame with 178 observations on the following 29 variables.
Alcohola numeric vector
Sugar.free_extracta numeric vector
Fixed_aciditya numeric vector
Tartaric_acida numeric vector
Malic_acida numeric vector
Uronic_acidsa numeric vector
pHa numeric vector
Asha numeric vector
Alcalinity_of_asha numeric vector
Potassiuma numeric vector
Calciuma numeric vector
Magnesiuma numeric vector
Phosphatea numeric vector
Chloridea numeric vector
Total_phenolsa numeric vector
Flavanoidsa numeric vector
Nonflavanoid_phenolsa numeric vector
Proanthocyaninsa numeric vector
Color_Intensitya numeric vector
Huea numeric vector
OD280.OD315_of_diluted_winesa numeric vector
OD280.OD315_of_flavanoidsa numeric vector
Glycerola numeric vector
X2.3.butanediola numeric vector
Total_nitrogena numeric vector
Prolinea numeric vector
Methanola numeric vector
Typea factor with levels
Barbera,Barolo,GrignolinoYeara numeric vector
Details
This data set is an expended version of the popular one from the UCI machine learning repository (http://archive.ics.uci.edu/ml/datasets/Wine).
Examples
1 |
Example output
Loading required package: mclust
Package 'mclust' version 5.4.7
Type 'citation("mclust")' for citing this R package in publications.
Loading required package: Rmixmod
Loading required package: Rcpp
Rmixmod v. 2.1.5 / URI: www.mixmod.org
Loading required package: MASS
Loading required package: mvtnorm
Attaching package: ‘mvtnorm’
The following object is masked from ‘package:mclust’:
dmvnorm
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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